Zenod Memory
概览
作者提供的说明(英文原文)
Memory you own: capture on WhatsApp, filed into your Markdown vault, recalled with citations.
PopNx MCP 的三大支柱
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i3 项中通过 3 项依据公开信息检查;尚未扫描代码
- 使用情况i起步阶段★ –
它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 在云端运行
- 传输方式: Streamable HTTP
- 分类: 搜索与 AI 记忆
安装
选择你使用的 AI 应用,然后复制设置。
安装之前
- 基础检查:3 项中通过 3 项
- 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
- 注册中心没有列出需要填写的密钥。
你需要
- 在云端运行无需安装任何东西,通过互联网连接
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
- 打开 Settings → Connectors
- 点击 Add custom connector
- 粘贴下面的地址,然后点击 Add
- 如果要求登录,请登录作者的服务
https://cloud.zenod.dev/mcp在终端中运行这条命令
claude mcp add --transport http memory https://cloud.zenod.dev/mcp或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"memory": {
"url": "https://cloud.zenod.dev/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"memory": {
"type": "http",
"url": "https://cloud.zenod.dev/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
- 打开网页版 ChatGPT → Settings → Connectors (Apps)
- 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
- 粘贴下面的地址,起个名字,然后保存
- 如果要求登录,请登录作者的服务
https://cloud.zenod.dev/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它能做什么
服务器要求先登录,才会列出它的工具。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
- ✓ 通过
作者与仓库一致
注册名称已通过域名 zenod.dev 验证(注册中心会核实域名所有权)
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- ✓ 通过
端点有响应
在 496 毫秒内响应(HTTP 401)
- ✓ 通过
使用 OAuth 登录
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
- … 尚未检查
工具描述中没有隐藏指令
尚未检查;我们会在检查端点时读取工具列表
与“搜索与 AI 记忆”中的其他服务器比较i
- 星标数多于此分类中其他 5688 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 5688 个服务器的 99% 更新
- 基础检查结果等于或优于此分类中其他 5688 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
Zenod Memory 安全吗?
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
它还在维护吗?
GitHub 仓库最后更新于–,最新版本(0.1.0)于今天进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
有什么可以替代它?
同一分类中有:Context7, Codebase Memory, Exa
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Zenod — the memory unit
Zenod is a memory agent you talk to over plain MCP (streamable HTTP). You give it a GitHub repo to use as your memory vault; it stores what you tell it as immutable evidence + filed meaning with citations, and lets you search and read it back. Every write lands as a real git commit — Zenod hands you the commit SHA and GitHub URL as the receipt.
One box, one endpoint, one repo. Zenod is the only thing that holds your repo token. You never write the repo from anywhere else — attempts from another path fail loudly.
Quickstart — point a plain MCP client at a fresh Zenod
You need: Docker, a GitHub repo you own (empty is fine) + a token that can push to it, and an LLM key (Anthropic or OpenAI). No suite, no console — just this unit.
1. Run a fresh instance
From this folder (units/zenod/). Until the repo split fires, the image is the repo root image with AGENT=zenod:
# from the repo root
docker build -t zenod .
docker run --rm -p 8080:8080 \ -v "$PWD/zenod-data:/data" \ -e AGENT=zenod \ -e ZENOD_DATA_DIR=/data \ -e VAULT_REPO="your-org/your-memory-repo" \ -e GITHUB_TOKEN="ghp_xxx_a_token_that_can_push_to_that_repo" \ -e ANTHROPIC_API_KEY="sk-ant-..." \ -e ZENOD_API_TOKEN="pick-any-long-secret-string" \ zenod
That is Option B: configure by hand — the three env vars above are all Zenod needs. (In the full suite the keyring/Console mints the MCP token and pushes VAULT_REPO + GITHUB_TOKEN + LLM key to /api/provision instead; a stranger self-hosting doesn't need that path.)
Zenod is now serving MCP at `http://localhost:8080/mcp`. Check it is up:
curl -s http://localhost:8080/api/health
2. Point any MCP client at it
The endpoint is vanilla MCP over streamable HTTP. Any MCP client works — e.g. Claude Desktop / claude with a custom connector, or the reference @modelcontextprotocol/inspector:
npx @modelcontextprotocol/inspector
transport: Streamable HTTP
URL: http://localhost:8080/mcp
header: Authorization: Bearer
Your token. /mcp always requires a bearer token — there is no tokenless mode. You control it two ways:
- Pin it (recommended): set
ZENOD_API_TOKENin the run command above to any long secret string. That IS your bearer token — use it directly. - Don't pin it: if
ZENOD_API_TOKENis unset, Zenod generates a token on first boot and prints it once to the container logs (docker logs | grep 'MCP bearer'). Copy it from there.
Send it as Authorization: Bearer on every MCP call. (Treat it like a password. Note: GET /api/token is itself auth-gated — you need the token to call it — so use one of the two paths above to learn it in the first place.)
Run tools/list. You should see store_memory, ingest_memory, search_memory, get_memory, ask_brain, and get_task_result (full surface in SEAM-SURFACE.md).
Codex Desktop bearer-token setup
Codex Desktop's MCP server settings have two separate concepts:
- URL: paste the Zenod MCP URL, for example
https:// /mcp. - Bearer token env var: enter the environment variable name, for example
ZENOD_MCP_TOKEN.
Do not paste the token itself into the Bearer token env var field. Codex reads that field as the name of an environment variable, then reads the actual bearer token from the Codex process environment.
For Codex CLI, this works when codex is launched from the same shell:
export ZENOD_MCP_TOKEN="<token>"
codex mcp add zenod --url https:// /mcp --bearer-token-env-var ZENOD_MCP_TOKEN
A normal shell export is temporary: it lasts only for that shell session and child processes. It does not survive a machine restart, and it does not affect an already running macOS GUI app launched from Finder, Dock, or Spotlight. For Codex Desktop, set the variable in the environment before starting Codex Desktop, or use a literal Authorization: Bearer header in the MCP server settings.
3. Store / search / get
Store (mutating, async — returns a jobId, then poll):
// tools/call store_memory
{ "content": "My home insurance renews on March 3rd every year." } // -> returns { jobId: "..." } (status: queued)
// tools/call get_task_result { "jobId": "..." } // -> when done: // { status: "done", result: { // evidenceRef: "Log/2026-07-05.md#^e-7f3a2c", // pagesTouched: ["Areas/Insurance.md"], // commitSha: "a1b2c3d...", // <- your receipt: a real git commit // githubUrls: ["https://github.com/your-org/your-memory-repo/blob/main/Areas/Insurance.md"] // } }
Open the githubUrls link — the memory is a committed file in your repo.
Ingest media/artifacts (mutating, async — returns a jobId, then poll):
// tools/call ingest_memory
{ "mediaType": "screenshot", "artifactUrl": "https://example.test/screen.png", "filename": "screen.png", "sourceHint": "Claude upload", "contentHint": "remember the renewal date visible in this screenshot", "hints": ["insurance"] } // -> returns { jobId: "...", kind: "media_ingest", status: "queued" }
// tools/call get_task_result { "jobId": "..." } // -> when done, result includes: // { // status: "done", // rawArtifact: { handle, archiveUrl, sha256 }, // extraction: { handle, ocrHandle, transcriptHandle, archiveUrl, provider }, // digest: { evidenceRef, pagesTouched, commitSha, githubUrls } // } // Opaque handles that Zenod cannot resolve still return a loud // media_ingest_processor_unavailable receipt instead of fake success.
Search (read, fast, no LLM):
// tools/call search_memory
{ "query": "insurance renewal" } // -> hits: [{ path, snippet, score, githubUrl }], or the explicit text // "No memories match 'insurance renewal'." when there are none.
Get (read one note by path from a search hit):
// tools/call get_memory
{ "path": "Areas/Insurance.md" } // -> { path, frontmatter, body, githubUrl }
For fuzzy or cross-note questions ("what do I know about X?"), call `ask_brain` instead of search_memory — it runs a read-only research loop and returns a synthesized answer with cited sources.
What you can rely on (the contract)
- The endpoint is standard MCP — nothing custom on the wire.
tools/list+tools/callis all a caller needs to know. See ../../docs/SEAM-SPEC.md. - Every write returns a receipt.
store_memorygives you acommitSha+ GitHub URL (viaget_task_result).ingest_memorygives an async media receipt with raw artifact, extraction/transcript archive, digest, commit, and archive fields. A read returns data or an explicit "none". No silent acks; failures error loudly with{ code, message }. - Only Zenod holds your repo token. It is supplied to this one box (env or
/api/provision) and read in exactly one place internally. Nothing else in the suite can write your repo. Any write attempt down another path fails loudly. - Your memory is just a git repo. Clone it, read it, leave — no lock-in.
Files in this unit
| File | What it is |
|---|---|
README.md | this quickstart (an acceptance item) |
SEAM-SURFACE.md | the MCP tool surface + receipt shapes |
EXTRACTION-MAP.md | file-level extraction map (blueprint, RD-4 staged) |
Dockerfile | root-image-reuse note (staged; build from repo-root Dockerfile) |
docker-compose.zenod.yml | deploy stub |
Status honesty: this folder is the *seam of record* for Zenod-as-a-unit. The
physical extraction from the fused Console is STAGED behind the RD-4 split trigger
and has not fired — see
EXTRACTION-MAP.md. The running behavior above is real
today (image with
AGENT=zenod); the standalone folder is blueprint.